Jeet Mehta
iOS DeveloperCEO @ Swift (we’re hiring!)
Swift
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CEO @ Swift (we’re hiring!)
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Helping improve the lives of sport facility owners and their customers!
University of Waterloo
Bachelor of Applied Science, Mechatronics Engineering
January 1, 2012 – January 1, 2017
Turner Fenton Secondary School
OSSD, High School/Secondary Diplomas and Certificates
January 1, 2008 – January 1, 2012
Swift
Co-founder & CEO
October 1, 2021 – Present
Toronto, Ontario, Canada
Shopify
Product Manager
June 1, 2021 – July 1, 2021
Shopify
Apprentice Product Manager
October 1, 2020 – June 1, 2021
Shopify
Data Scientist
January 1, 2018 – October 1, 2020
Nuvation Engineering
Software Design Engineer
May 1, 2016 – August 1, 2016
Waterloo, Ontario
Lumotune Inc.
Firmware/Hardware Engineer
September 1, 2015 – December 1, 2015
Waterloo, Ontario
Athos
Python Engineer - Research/Data Science
January 1, 2015 – April 1, 2015
Redwood City, California
Pivotal Labs
Agile Engineer
May 1, 2014 – August 1, 2014
Toronto, Ontario
BlackBerry
Software Developer
September 1, 2013 – December 1, 2013
Waterloo, Ontario
Kik Interactive, Inc.
Release Engineer
January 1, 2013 – April 1, 2013
Waterloo, Ontario
CNN: Adversarial MNIST
September 1, 2017 – October 1, 2017
- Developed a Deep CNN MNIST classifier in TensorFlow: classified digits with 99.2% - Created adversarial images to successfully fool the classifier
LogReg: LendingClub Loan Approvals
September 1, 2017 – October 1, 2017
- Wrangled a dataset with 200,000 entries to extract insights from a user's credit profile - Developed a Logistic Regression model predicting loan approvals with 90%+ accuracy
Modified KNN: Predicting Housing Prices
September 1, 2017 – October 1, 2017
- Implemented a modified KNN algorithm in Python that accounts for time leakage, essentially ignoring training samples that have a home closing date prior to the input - Utilized MRAE to evaluate the performance of the modified algorithm
SVM: Lung Cancer Classification
April 1, 2017 – July 1, 2017
• Created a SVM classifier that identified malignant lung nodules with 70% accuracy • Developed the algorithm in Python using TensorFlow, SciPy and LBP
ANN: Sizing Up Pokemon
April 1, 2017 – Present
• Developed an artificial neural network (ANN) in MATLAB that classified over 550 Pokemon based on size with over 90% accuracy • Expanded algorithm capabilities to successfully classify Pokemon based on both size and colour
BioBit: Gait Analysis Insole
September 1, 2016 – April 1, 2017
• Led and reviewed the PCB design process using Eagle, from component selection through to schematic entry and layout • Awarded $7000 in equity-free funding from University of Waterloo’s St. Paul’s Greenhouse and OCE • Accepted into Stage 1 of the Velocity Garage, the largest free startup incubator in the world
All About the Space: A Thorough Review of PCB Design Techniques in Modern Times
November 1, 2015 – Present
• Attended Freescale PCB Design Seminar to learn and discuss physics behind electrical design • Compiled important techniques to create effective PCBs that follow modern EMC standards • Applied efficient tactics to create important philosophies in order to assist in proper schematic and layout designs in the future
Cultural Fit Analysis
The candidate demonstrates a broad range of interests and experiences, from hardware design to data science and product management. The entrepreneurial background and diverse project portfolio suggest a proactive and innovative mindset. However, the target role is 'iOS Developer', and the candidate's experience does not directly align with iOS-specific development, which could impact cultural fit within a dedicated iOS team without prior exposure.
Soft Skills & Operational Fit
The candidate's diverse project and work experience, including leadership roles, suggests adaptability and a proactive approach. Experience in agile environments and release engineering indicates an understanding of operational workflows. However, specific soft skills like teamwork or problem-solving are not explicitly detailed in the provided data.